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ASCE-PPIS: a protein-protein interaction sites predictor based on equivariant graph neural network with fusion of structure-aware pooling and graph collapse.

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Title: ASCE-PPIS: a protein-protein interaction sites predictor based on equivariant graph neural network with fusion of structure-aware pooling and graph collapse.
Authors: Shen G; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214012, China.; Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214012, China., Zhang Z; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214012, China.; Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214012, China., Deng Z; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214012, China.; Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214012, China., Pan X; School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China., Shen HB; School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China., Yu DJ; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China China., Hu S; Affiliated Hospital of Jiangnan University, Wuxi 214000, China., Ge Y; Affiliated Hospital of Jiangnan University, Wuxi 214000, China.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Aug 02; Vol. 41 (8).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: ASCE-PPIS: a protein-protein interaction sites predictor based on equivariant graph neural network with fusion of structure-aware pooling and graph collapse.
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  Data: <searchLink fieldCode="AU" term="%22Shen+G%22">Shen G</searchLink>; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214012, China.; Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214012, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Z%22">Zhang Z</searchLink>; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214012, China.; Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214012, China.<br /><searchLink fieldCode="AU" term="%22Deng+Z%22">Deng Z</searchLink>; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu 214012, China.; Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214012, China.<br /><searchLink fieldCode="AU" term="%22Pan+X%22">Pan X</searchLink>; School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.<br /><searchLink fieldCode="AU" term="%22Shen+HB%22">Shen HB</searchLink>; School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.<br /><searchLink fieldCode="AU" term="%22Yu+DJ%22">Yu DJ</searchLink>; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China China.<br /><searchLink fieldCode="AU" term="%22Hu+S%22">Hu S</searchLink>; Affiliated Hospital of Jiangnan University, Wuxi 214000, China.<br /><searchLink fieldCode="AU" term="%22Ge+Y%22">Ge Y</searchLink>; Affiliated Hospital of Jiangnan University, Wuxi 214000, China.
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        Value: 10.1093/bioinformatics/btaf423
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      – TitleFull: ASCE-PPIS: a protein-protein interaction sites predictor based on equivariant graph neural network with fusion of structure-aware pooling and graph collapse.
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              Text: 2025 Aug 02
              Type: published
              Y: 2025
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